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Next-Generation Artificial Intelligence Driven Smart and Renewable Energy (Intelligent Data-Driven Systems and Artificial Intelligence)

By: Chandan Paul (Edited by) , Provas Kumar Roy (Edited by) , Sunanda Hazra (Edited by)

Manufacture on Demand

Ksh 22,800.00

Format: Hardback or Cased Book

ISBN-10: 1032761563

ISBN-13: 9781032761565

Collection / Series: Intelligent Data-Driven Systems and Artificial Intelligence

Collection Type: Publisher collection

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jul 6th, 2025

Publication Status: Active

Product extent: 196 Pages

Weight: 560.00 grams

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This book provides practical challenges encountered, solutions and future scope to be adopted in the fields of renewable energy. Applications of varieties advanced optimization and AI techniques on design and development of renewable energy integrated systems have been discussed.

Dynamic intersection of Renewable Energy (RE) incorporated smart energy and Artificial Intelligence (AI) have aiming to unravel the potential synergies between these two transformative fields for a sustainable future. Renewable energy is crucial to preserve the environment. Energy involving various systems must be optimized and assessed to provide better performance. However, the design and development of renewable energy systems remains a challenge. Advanced optimization techniques/AI/ML plays a crucial role in implementing the latest innovative research in the field of renewable energy integrated electrical systems. This book also provides practical challenges encountered, solutions and future scope to be adopted in the fields of renewable energy. Applications of varieties advanced optimization and AI techniques on the design and development of renewable energy integrated systems have been discussed to provide new solutions to the renewable energy domain.

This book:

  • Discusses modern modeling/control approaches for improving renewable energy integrating artificial intelligence-driven power systems.
  • Cover the principles and methods of renewable energy generation technologies, an analysis of their implementation, management, and optimization, and related economic advantages.
  • Provides critical information on the technological design and policy issues that must be taken into consideration while implementing a smart grid.
  • Explains metaheuristic optimization algorithm for complex electrical systems, and whale optimization algorithm based multi-objective hydrothermal scheduling.
  • Illustrates electric vehicle charging station in the distribution network, and transient stability constraint optimal power flow problem using chaotic quasi oppositional chemical reaction optimization.

Covering topics such as Microgrids, Wind Power, Solar Photo Voltaic (PV), Optimal Power Flow (OPF), Grid Connected Inverter, Electric Vehicle, combined heat and power economic dispatch, FACTS tools for smart energy, Harmonic Impedance of a Salient pole Synchronous Generator (HI), Maximum Power Point Tracking (MPPT) and advanced optimization techniques are ideal for academicians, practitioners, teachers, engineers, industry professionals, researchers, and students in diverse fields including electrical engineering, electronics and communications engineering, energy, and environmental engineering.


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